MING Stack Demystified: MQTT, InfluxDB, Node-RED, and Grafana

Prescient
5 min readOct 26, 2023
MING Stack — MQTT, InfluxDB, Node-RED and Grafana

In today’s data-driven world, the ability to efficiently process, analyze, and visualize data is paramount. The MING Stack, an acronym for MQTT, InfluxData, Node-RED, and Grafana, offers a comprehensive solution for data enthusiasts and professionals alike.

In this article, we’ll dive deep into the MING Stack, using Prescient’s offerings as a case study, and explore how it can revolutionize the way we handle data.

What is MING Stack

The MING Stack is a powerful combination of tools and technologies designed to facilitate data collection, storage, processing, and visualization. Each component of the stack plays a crucial role:

  • MQTT (Message Queuing Telemetry Transport): MQTT is a streamlined communication protocol tailored for environments with limited bandwidth, high delay, or inconsistent connectivity. It’s especially advantageous for scenarios demanding minimal code size or where network resources are scarce, making it ideal for linking IoT (Internet of Things) devices.
  • InfluxData (InfluxDB): A high-performance data store written specifically for time series data.
  • Node-RED: A flow-based development tool for visual programming, aiding in wiring together devices, APIs, and online services.
  • Grafana: An open-source platform for monitoring and observability, offering rich visualizations through dashboards for various data sources, including InfluxDB.

Prescient’s Take on the MING Stack

Prescient’s approach to the MING Stack is not just about integration; it’s about enhancement. By integrating its own set of tools and services, Prescient ensures that the MING Stack’s capabilities are amplified.

While Node-RED offers a visual programming interface, Prescient takes it a notch higher. It offers scalability, ensuring that as data processing needs grow, the tool can handle it. Moreover, with improved data preparation capabilities, it ensures that data is not just collected, but also made ready for analytics

Learn More about Prescient with Influx Data

Integrating Devices with Prescient

One of the standout features of Prescient’s platform is the flexibility it offers when integrating devices. There are multiple ways to add a device to the Prescient, catering to various user preferences and technical requirements.

By visiting our documentation and selecting the ‘Edge device setup’, users can explore a plethora of installation methods. This versatility ensures that whether you’re a novice or an expert, integrating devices with Prescient is a seamless experience.

The Journey of Data in a Global Enterprise

Consider the journey of data in a global enterprise. A device, like the Jetson Nano, becomes the starting point. Equipped with sensors, it’s a treasure trove of data.

jetson nano and its interfaces
  • Data Collection: Every second, the Jetson Nano is observing, measuring, and collecting data. Whether it’s temperature fluctuations or humidity levels, every data point is crucial. The device has a sensor connector which connects to humidity, temperature, and wind sensors, spitting out a wealth of information.
sensor connector and the data its output
  • Data Transformation on the Device: Before the data even leaves the device, it undergoes an initial transformation. Using a function block, the data from the sensor is organized into its own message parameters such as temperature, humidity, wind speed, and location.
function block and the data transformer process
  • Data Transmission: Through MQTT, this data embarks on its journey. It’s transmitted in real-time to Prescient in the cloud, ensuring that not a single data point is lost in transit.
  • Data Transformation in the Cloud: Once in Prescient, the raw data undergoes further transformation. It’s formatted to be consumed by InfluxDB, setting up fields and tags for efficient storage.
Data transformation in Prescient
  • Data Storage: InfluxDB becomes the data’s resting place. But it’s not just about storage; it’s about efficient data storage. Data is pushed to the database every 15 minutes, and with tags like device and location, retrieval becomes even more efficient.
InfluxDD interface showing the stored data
  • Visualization: The final leg of the data’s journey is perhaps the most crucial. Through Grafana, data is visualized. It’s transformed from abstract numbers to insightful graphs, ensuring that stakeholders can derive meaningful insights. The data from InfluxDB is displayed in visually appealing line charts, showcasing metrics like humidity, temperature, and wind speed.
grafana dashboard

Consider the journey of data in a global enterprise. A device, like the Jetson Nano, becomes the starting point. Equipped with sensors, it’s a treasure trove of data.

Watch the whole tutorial Below.

https://youtu.be/wrytZ7rzBv4

Benefits of using Prescient with the MING Stack

  • Scalability: Prescient offers scalability, ensuring that as your data needs grow, the system can handle it.
  • Real-time Monitoring: With IoT devices, data can be monitored in real-time, offering insights as events unfold.
  • Security: Prescient ensures that data is secure, with only authorized personnel having access.
  • Ease of Use: With tools like Prescient, setting up and managing the MING Stack becomes a breeze.

Conclusion

The MING Stack, when combined with Prescient, offers a robust solution for data management. From collection to visualization, every step is optimized for efficiency and clarity. As the world continues to generate more and more data, tools like the MING Stack will become indispensable.

With Prescient leading the charge, the future of data management looks bright. Interested in diving deeper into the world of the MING Stack and Prescient?

Request a demo for personalized guidance.

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Prescient

Prescient Edge specializes in fusing massive, diverse data streams from physical assets, control software, work logs & other sources to extract new insights.